Robust FIR equalization for time-varying communication channels with intermittent observations via an LMI approach
The optimal design of finite impulse response (FIR) filters for equalization/deconvolution is investigated in this paper. Two practical yet challenging constraints are incorporated into the modeling of the equalization system: (1) The parameters of the communication channel model are arbitrarily tim...
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| Published in | Signal processing Vol. 91; no. 7; pp. 1651 - 1658 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.07.2011
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0165-1684 1872-7557 |
| DOI | 10.1016/j.sigpro.2011.01.011 |
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| Abstract | The optimal design of finite impulse response (FIR) filters for equalization/deconvolution is investigated in this paper. Two practical yet challenging constraints are incorporated into the modeling of the equalization system: (1) The parameters of the communication channel model are arbitrarily time-varying within a polytope with finite known vertices; (2) at the received end, the received signal is usually intermittent due to network-induced packet dropouts which are modeled by a stochastic Bernoulli distribution. Under the stochastic theory framework, a robust design method for the FIR equalizer is proposed such that the equalization system can achieve the prescribed energy-to-peak performance even it is subject to uncertainties, external noise, and data missing. Sufficient conditions for the existence of the equalizer are derived by a set of linear matrix inequalities (LMIs). An illustrative design example demonstrates the design procedure and the effectiveness of the proposed method. |
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| AbstractList | The optimal design of finite impulse response (FIR) filters for equalization/deconvolution is investigated in this paper. Two practical yet challenging constraints are incorporated into the modeling of the equalization system: (1) The parameters of the communication channel model are arbitrarily time-varying within a polytope with finite known vertices; (2) at the received end, the received signal is usually intermittent due to network-induced packet dropouts which are modeled by a stochastic Bernoulli distribution. Under the stochastic theory framework, a robust design method for the FIR equalizer is proposed such that the equalization system can achieve the prescribed energy-to-peak performance even it is subject to uncertainties, external noise, and data missing. Sufficient conditions for the existence of the equalizer are derived by a set of linear matrix inequalities (LMIs). An illustrative design example demonstrates the design procedure and the effectiveness of the proposed method. |
| Author | Zhang, Hui Shi, Yang Saadat Mehr, Aryan Huang, Haining |
| Author_xml | – sequence: 1 givenname: Hui surname: Zhang fullname: Zhang, Hui organization: Department of Mechanical Engineering, University of Victoria, PO Box 3055, STN CSC, BC, Canada V8W 3P6 – sequence: 2 givenname: Yang surname: Shi fullname: Shi, Yang email: yshi@uvic.ca organization: Department of Mechanical Engineering, University of Victoria, PO Box 3055, STN CSC, BC, Canada V8W 3P6 – sequence: 3 givenname: Aryan surname: Saadat Mehr fullname: Saadat Mehr, Aryan organization: Department of Electrical and Computer Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK, Canada S7N 5A9 – sequence: 4 givenname: Haining surname: Huang fullname: Huang, Haining organization: Institute of Acoustics, Chinese Academy of Sciences, Beijing, China |
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| Keywords | Intermittent observations Robust filtering Energy-to-peak gain Linear matrix inequalities (LMIs) Finite impulse response (FIR) equalization Time-varying systems Performance evaluation Polytope Parameter estimation Robust estimation Equalizer Modeling Time variation Optimal design Time varying system Digital filter Channel estimation Linear matrix inequality Time variable channel Transmission channel Equalization Deconvolution Sufficient condition Signal processing Finite impulse response filter |
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| SubjectTerms | Applied sciences Channels Design engineering Detection, estimation, filtering, equalization, prediction Energy-to-peak gain Equalization Equalizers Exact sciences and technology Finite impulse response (FIR) equalization Impulse response Information, signal and communications theory Intermittent observations Linear matrix inequalities (LMIs) Mathematical analysis Mathematical models Miscellaneous Optimization Robust filtering Signal and communications theory Signal processing Signal, noise Stochasticity Telecommunications and information theory Time-varying systems |
| Title | Robust FIR equalization for time-varying communication channels with intermittent observations via an LMI approach |
| URI | https://dx.doi.org/10.1016/j.sigpro.2011.01.011 https://www.proquest.com/docview/864432286 |
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